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Showing content from https://docs.nvidia.com/deeplearning/dali/user-guide/docs/operations/nvidia.dali.fn.paste.html below:

nvidia.dali.fn.paste — NVIDIA DALI

nvidia.dali.fn.paste(__input, /, *, bytes_per_sample_hint=[0], fill_value, min_canvas_size=0.0, n_channels=3, paste_x=0.5, paste_y=0.5, preserve=False, ratio, device=None, name=None)#

Pastes the input images on a larger canvas, where the canvas size is equal to input size * ratio.

Supported backends

• ‘gpu’

Parameters:

__input¶ (TensorList ('HWC')) – Input to the operator.

Keyword Arguments:

• bytes_per_sample_hint¶ (int or list of int, optional, default = [0]) –

  Output size hint, in bytes per sample.

  If specified, the operator’s outputs residing in GPU or page-locked host memory will be preallocated to accommodate a batch of samples of this size.

• fill_value¶ (int or list of int) –

  Tuple of the values of the color that is used to fill the canvas.

  The length of the tuple must be equal to n_channels.

• min_canvas_size¶ (float or TensorList of float, optional, default = 0.0) – Enforces the minimum paste canvas dimension after scaling the input size by the ratio.

• n_channels¶ (int, optional, default = 3) – Number of channels in the image.

• paste_x¶ (float or TensorList of float, optional, default = 0.5) – Horizontal position of the paste in (0.0 - 1.0) image coordinates.

• paste_y¶ (float or TensorList of float, optional, default = 0.5) – Vertical position of the paste in (0.0 - 1.0) image coordinates.

• preserve¶ (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.

• ratio¶ (float or TensorList of float) – Ratio of canvas size to input size. Must be >= 1.

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